Scan-to-BIM for Data Centers

Data centers are not warehouses with servers in them. They are stratified, multi-layer environments where a single missing dimension - a 4-inch pedestal height discrepancy, a mis-located overhead busway - can trigger a six-figure rework or an unplanned outage window. Our scan-to-BIM services overview covers the full range of facility types we work in, but data centers sit in a category of their own for complexity, access constraints, and consequences when the model is wrong.

This article covers exactly what scan-to-BIM captures in a live colocation hall, how our field crews execute in a production environment without causing downtime, what LOD you should specify for a critical power upgrade, and what it costs in the 2025 US market.

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Why Data Centers Are Among the Hardest Buildings to Model - and the Most Expensive to Get Wrong

The physical stack inside a colocation hall is unlike any other commercial building. In a single column bay you have a raised-floor plenum (typically 12-24 inches deep), live server racks sitting on pedestals, overhead cable trays at two or three elevations, in-row cooling units projecting into the aisle, hot/cold aisle containment systems, and overhead busways feeding PDUs at every row. These layers do not just coexist - they actively compete for the same few inches of clearance.

Compounding that geometry problem is a documentation problem. Original construction drawings for most operating data centers are 10-15 years out of date. Every PDU swap, containment curtain addition, cabling retrofit, or CRAC unit relocation happens under change-management pressure without a corresponding drawing update. What the as-built record shows and what exists on the floor are often two entirely different buildings.

The financial consequences are not theoretical. A single missed conflict between a new CRAC unit and an existing overhead busway can cost $50,000-$200,000 in rework, plus the downtime penalties that come with unplanned work in a live production environment. According to the Uptime Institute’s 2023 Annual Outage Analysis, human error - direct and indirect - has contributed to 66-80% of all downtime incidents across 25 years of Uptime Institute data, and a large share of respondents reported that their most recent significant outage cost more than $100,000. Inaccurate or absent as-built documentation is a primary enabler of that category of error: crews working from outdated drawings make physical changes against geometry that no longer reflects reality.

If you are already evaluating vendors, you probably have three specific questions: Can ywe work in a live environment? What LOD do I actually need? What does it cost? All three are answered in detail below.

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What Scan-to-BIM Captures in a Data Center vs. a Standard Commercial Building

The surface resemblance between a data center hall and a warehouse - large open floor, column grid, high bay - disappears the moment you look at what actually needs to be modeled.

White space is the leasable/usable server floor area measured precisely after accounting for containment walls, cooling unit footprints, and aisle boundaries. For a colocation operator, this number drives every capacity planning and power density decision - kW per rack row, revenue per square foot, lease renewal negotiations. An inaccurate white space figure is not a documentation error; it is a revenue error.

Hot aisle / cold aisle containment - doors, curtains, blanking panels, overhead containment ceilings - we model as Revit families with explicit clearance dimensions. The goal is a model that airflow analysis software (6SigmaRoom, Future Facilities, or the operator’s CFD tool of choice) can ingest without manual cleanup. That requires actual geometry, not a bounding box.

Raised access floor is more variable than it looks. Pedestal heights are often inconsistent across zones - legacy expansions, floor leveling corrections, and post-installation modifications mean a single hall can have three or four distinct pedestal heights. We document tile grid, pedestal heights by zone, cutout locations, and sub-floor plenum depth to ±3mm with our terrestrial laser scanner.

Above-ceiling layer - cable trays, conduit runs, overhead busway tap-offs, sprinkler mains, and CRAC return air ductwork - is the most conflict-prone zone during any retrofit. It is also the layer most often poorly documented, because it requires scanning above the containment ceiling, not just at walking height.

What we explicitly do not model: individual patch cables (DCIM scope, not BIM scope), live server inventory and nameplate data (DCIM), or rack-level asset management data. Scoping this explicitly in writing before work begins keeps the deliverable clean and the budget predictable.

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Gear & Field Protocol for Live Data Center Scanning

Instrument Selection

Our primary instrument in tight data center environments is the Trimble X7 - self-leveling, with a range accuracy of 2 mm and range noise under 3 mm at 60 m, delivering 3D point accuracy of approximately 3.5-4 mm at typical data center scan distances. In a hot-aisle corridor that is 900mm-1200mm wide, the X7’s compact form factor and rapid setup time matter. We can reposition a station in under 90 seconds without disturbing containment curtains or tripping cable management. At each position, the X7 runs a full-density pass at approximately 3.5 minutes per station in a data center environment - the dwell time required to capture overhead busway tap geometry and containment ceiling panels at adequate point density. For a 20,000 sq ft hall with full hot/cold aisle containment, we typically run approximately 140 stations: one per hot/cold aisle pair every 8-12 feet of row length, plus dedicated sub-floor stations every third bay. That station count is what produces a registered cloud with RMS error under 2mm.

For larger colocation halls where scan-to-scan range and HDR panoramic imaging are priorities, terrestrial scanners such as the Leica RTC360 are common across the industry - producing cleaner imagery in varying lighting conditions, which matters when documenting mixed containment zones and equipment labels, with 2mm accuracy at 10m and rapid scan times suited to halls exceeding 300 feet in any direction.

For sub-floor plenum scanning, we use our handheld scanner on a custom low-profile bracket lowered through removed floor tile cutouts. The bracket positions the scanner at approximately 8 inches above the sub-floor, with the scan head oriented to sweep the pedestal field, cable bundles, and underfloor obstructions in a full 360-degree pass. We remove tiles every third bay, execute the scan, replace the tile, and move to the next point. This technique produces a complete sub-floor point cloud without requiring a crew member to physically enter the plenum and without leaving floor tiles open longer than a single scan cycle.

Scan Dwell Time and NOC Window Planning

A question we get from every NOC team during pre-scan planning: how long does the scanner actually sit at each position? For the Trimble X7 at full data center density, plan for 3.5-4 minutes per station (scan plus move-and-level time). For a 140-station hall that is approximately 9-10 hours of productive scan time, which maps cleanly to two 4-hour maintenance windows with a crew changeover. For smaller single-tenant server rooms running 40-60 stations, a single overnight window is sufficient. We build station counts and window time estimates into the pre-scan report we send the facilities team before mobilization.

Live Environment Protocol

Terrestrial laser scanners emit Class 1 eye-safe laser pulses with zero RF emissions at frequencies that affect server NICs, storage arrays, or network switches. This is inherent to the technology, not a facility-specific finding. The practical constraint is physical access and maintenance window coordination, not instrument interference.

Our standard data center site prep checklist covers:

• Scan-window scheduling with the NOC (typically 2am-6am maintenance windows or rolling zone shutdowns by row)
• Badge access and escort logistics - badged access is strongly preferred because escort requirements add 30-50% to field time
• Camera and photography policy compliance - most facilities require equipment photography sign-off before scanning begins
• NDA execution before any site visit
• No tripod anchoring to raised-floor tiles - we use ballast-weighted base plates
• Emergency egress protocol reviewed with the facilities team before the first scan night

Scan density: one station per hot/cold aisle pair - roughly every 8-12 feet - to eliminate occlusion behind containment walls. Sub-floor plenum stations every third bay using the low-profile bracket method described above.

Registration accuracy target: RMS error <2mm for a standard colocation hall. The Trimble X7’s built-in self-registration handles the field pass; we clean and register the final cloud in Autodesk ReCap Pro before handoff to modeling (produced by our vetted partner studios under our QA).

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The Scan-to-BIM Workflow: From Raw Point Cloud to Coordinated Revit Model

Step 1 - Mobilization & scope lock. Before boots hit the floor, we finalize a floor-by-floor LOD matrix with the owner. Data centers typically need LOD 300 for structural, MEP mains, and containment; LOD 200 for secondary cable trays. Ambiguity here costs money on both sides.

Step 2 - Field scanning. A 10,000-40,000 sq ft colocation hall typically requires 1-3 nights depending on obstruction density, containment complexity, and sub-floor extent. We deliver a preliminary scan report to the owner within 48 hours of completing field work.

Step 3 - Registration in ReCap Pro. Scan-to-scan registration first; survey control benchmarks incorporated if the owner provides them. The answer to whether survey control is tied in matters for future campaign compatibility - a georeferenced .rcp file can be incorporated into site coordination or future scanning campaigns; a project-north-only cloud cannot. We specify this in the scope deliverable table before signing. Final output is a clean, georeferenced .rcp file.

Step 4 - Point cloud import into Revit. Project base point, coordinate system, and survey point are set before any modeling begins. Misalignment at this step causes cascading clash errors downstream. See our guide on how to import a registered point cloud into Revit for the exact workflow our modelers follow.

Step 5 - Modeling by discipline. Sequence matters: architectural shell and raised floor grid first; structural columns and overhead beams second; MEP (HVAC, electrical busways, piping) third; containment systems last because they reference geometry from all other disciplines.

Step 6 - Clash detection pass. We run Navisworks Manage clash sets covering hard clashes (physical interference, tolerance 0mm) and soft clashes (clearance violations). For soft clashes in data center environments, we check against ASHRAE A2 and A3 thermal envelope requirements - flagging service aisle clearance compressions and hot-aisle clearance shortfalls that commonly emerge in facilities where containment additions, cable tray repositioning, and non-standard rack footprints have accumulated over time. We also flag any busway tap-off that falls within 150mm of a structural beam or cable tray stack, which is our field-confirmed threshold for a fabrication-interference risk. The output is a Navisworks clash report with screenshot callouts indexed to Revit element IDs, grouped by system and severity.

Step 7 - Deliverable package. .rvt file, .nwd for clash review, .dwg exported floor plans, PDF sheets, and the registered .rcp point cloud. All versioned and uploaded to a shared project folder.

Timeline benchmark: 10,000 sq ft single-floor colocation hall, LOD 300 MEP - 2 nights scanning, 10-14 business days modeling, total elapsed approximately 3 weeks.

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LOD Matrix for Data Center Scan-to-BIM: What Gets Modeled at Each Level

For readers who want the conceptual foundation before committing to a scope, our post on LOD 200 vs LOD 300 - what the levels actually mean for your model covers the definitions in detail. Here is how those levels map to data center-specific elements:

LOD 350 and the rack density threshold. The practical trigger for specifying LOD 350 on the power path is rack density. At or below 10 kW per rack, LOD 300 geometry is generally sufficient for power upgrade coordination - tap-off locations and run geometry are enough to flag conflicts. Above 10 kW per rack, the tolerance between components compresses to the point where LOD 300 geometry leaves ambiguity that fabricators cannot resolve without field re-measurement. At densities above 15 kW per rack, we treat LOD 350 on the full power path as effectively mandatory: the busway tap-box geometry, circuit interface clearances, and PDU connection flanges are all in play simultaneously, and a single missed clearance at that density level produces a conflict that cannot be resolved without opening a maintenance window.

Practical approach: most data center owners specify LOD 300 as the baseline for the full hall and LOD 350 specifically for the critical power path - UPS, ATS, PDU, and busway runs. This protects the highest-risk zone with fabrication-level geometry without paying LOD 350 rates for every secondary cable tray in the facility.

LOD 400 and LOD 500 in data centers are rare, usually limited to a specific generator room or UPS bay where a major capital project is imminent.

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Pricing & Scope Ranges for Data Center Scan-to-BIM

Data center pricing diverges from standard commercial scan-to-BIM because of three factors essentially invisible in a warehouse or office: night/weekend scanning premiums, zone count for modeling, and containment complexity.

After-hours premium: 20-35% uplift over daytime commercial rates. Most production data centers can only grant scan access during maintenance windows - 2am-6am on weeknights or weekend overnight windows. That premium is real and belongs in every budget.

Why data centers cost 2-3x per square foot vs. a warehouse: a 20,000 sq ft warehouse scans in a single day shift with minimal obstruction modeling. A 20,000 sq ft data center requires 2-3 night shifts and approximately 140 scan stations to hit <2mm RMS, plus 3-4x the modeling hours - the layer count and containment geometry, not the floor area, drive cost.

Common cost overruns: undisclosed sub-floor obstructions (legacy cabling, abandoned equipment that appears in the point cloud but was not in the scope), containment systems added after the original scan scope was locked, and last-minute access restrictions that force re-mobilization. All three are avoidable with a detailed pre-scan site walkthrough.

For a full breakdown of pricing variables across project types, see our full scan-to-BIM cost breakdown and pricing factors resource.

To right-size your scope: send us a one-line floor plan (hand-sketched is fine), raised floor height, and a rough count of containment rows. We can scope within 24 hours.

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Real-World Use Cases: What Data Center Owners Actually Do With the Model

Capacity Expansion Planning

When a colocation operator upgrades a row from 5 kW to 15 kW per rack, the mechanical engineer needs exact pedestal height variations by zone, sub-floor airflow path documentation, and clearance geometry for in-row cooling unit placement - all before purchasing equipment. ASHRAE A2 thermal envelope guidelines specify minimum service aisle clearances between cooling unit edges and rack faces. On paper, a data center designed to that standard appears compliant. In practice, legacy containment additions, cable tray repositioning, and non-standard rack footprints routinely produce zones where effective service aisle clearance has been significantly compressed - a soft-clash violation that an accurate LOD 300 model surfaces in Navisworks before the first purchase order goes out. Equipment returned after an on-site fit failure typically costs $40,000-$80,000 in restocking, re-procurement lead time, and an additional maintenance window to schedule the corrected installation.

Critical Power Path Documentation

Every UPS, ATS, PDU, and busway tap modeled at LOD 350 with circuit IDs and interface clearances. This deliverable feeds DCIM integration and is increasingly required for insurance underwriting on Tier III and Tier IV facilities. The power path deliverable also captures tap-off geometry at each busway joint - information that manual as-built drawings almost never show at adequate precision for a major electrical upgrade, because the field crews who installed the busway did not have a BIM mandate.

Raised Floor Retrofit for Higher Density

A scan-derived sub-floor point cloud - produced with our handheld scanner on a low-profile bracket - documents pedestal heights, cabling bundles, and abandoned equipment that has been sitting under the floor since the original build-out. Sub-floor scanning is one of the highest-value deliverables in a density upgrade engagement: legacy infrastructure that has no record in facility documentation appears clearly in the point cloud, allowing the project team to identify and resolve conflicts before construction begins rather than after.

M&A Due Diligence

Buyers acquiring a data center asset want to verify that the physical infrastructure matches the seller’s specifications - white space footage, rack row counts, containment coverage, and redundant path geometry. A common discrepancy in these engagements is white space overstatement: seller documentation typically overstates usable white space once containment footprints, cooling unit projections, and actual aisle boundary dimensions are measured from a point cloud rather than estimated from original design drawings. On a facility marketing 50,000 sq ft of white space, even a modest overstatement is a material figure in any acquisition model. A scan-to-BIM engagement produces an independent spatial record that a seller’s internal documentation cannot substitute for, and that a buyer’s engineer can audit directly from the point cloud.

Regulatory and Compliance Documentation

Tier III and Tier IV certification bodies require spatial documentation of physical security zones, redundant path routing, and separation distances between systems. Uptime Institute Tier Standard requirements mandate that concurrent maintainability be demonstrable - meaning redundant power and cooling paths must be physically separated such that a single event cannot affect both. Documenting that separation in a Revit model, with room boundary geometry and path routing verified against the point cloud, is the most auditable form of that evidence. SOC 2 Type II physical security controls similarly require accurate room boundary documentation for access zone mapping. A model with inaccurate room boundaries - common when a facility has added containment walls or security partitions post-construction - produces compliance documentation that does not reflect the physical environment and will not survive an on-site audit.

Decommissioning and Hot-Site Migration

When migrating workloads to a new facility, a point cloud of the source hall lets the destination facility’s engineers plan rack placement, containment layout, and cooling capacity before a single server is physically moved. The source hall scan establishes exact rack footprints, weights (via nameplate data collected during the scan if scoped), and cable path lengths - inputs the destination facility’s mechanical engineer needs to size in-row coolers and plan floor loading. This eliminates the most common migration delay: arriving at the destination with equipment that does not fit the planned layout because the source hall geometry was documented from drawings rather than scan.

Boise, Idaho and Treasure Valley

The Treasure Valley has seen significant data center investment - Meta, regional colocation operators, and Micron-adjacent facilities have all expanded here, driven by energy costs and available land. Data center access protocols and NOC-window practices are demanding and region-specific; we scope and plan around them for every engagement. Data center types range from single-tenant server rooms to multi-hall colocation campuses, and the modeling scope differs significantly across them.

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Containment Systems: The Detail That Separates a Good Data Center BIM from a Useless One

This is where generalist BIM teams - and offshore modeling shops - consistently produce models that fail on first contact with reality.

Hot aisle containment (HAC) vs. cold aisle containment (CAC) require different scanner placement strategies. HAC overhead containment requires positioning the scanner inside the hot aisle looking up at the containment ceiling panels. CAC requires coverage of the cold-aisle ceiling panel grid from the cold-aisle perspective. Running a single pass down the center of the hall captures neither correctly.

Blanking panels are modeled as hosted Revit families in the rack face. They are critical for airflow CFD models - a missing blanking panel in the model produces a false bypass path in the simulation, invalidating the thermal analysis. Offshore BIM teams routinely omit them as “small components not worth modeling.” We model them.

Containment doors and swing radius. A door modeled at LOD 300 without its full 90-degree open swing envelope is dangerous geometry during aisle densification planning. We model containment door families with the complete swing envelope at LOD 350 for any facility where aisle width modifications are being planned.

Mixed containment environments - partial HAC in some rows, open aisle in others - are documented with zone boundary dimensions and containment type per zone. This is the data PUE (Power Usage Effectiveness) calculations require.

The white space schedule. After containment is fully modeled, we generate a net white space area schedule directly from Revit: zone ID, gross area, containment type, effective usable area. For a colocation operator, this single deliverable - which requires a complete containment model to produce accurately - frequently justifies the entire engagement budget.

For readers evaluating tolerance settings and clash detection configuration for point-cloud-based models, see our spoke on clash detection tolerances and settings for point-cloud-based BIM.

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Choosing a Scan-to-BIM Partner for a Live Data Center: Five Questions to Ask

Not every scan-to-BIM firm has done this work in a production data center. These five questions separate firms that have from firms that are estimating that they could.

1. Do your field crews carry data center badges, or do they need escorted access for every station move? Escort requirements add 30-50% to field time. A crew that needs a facilities escort to walk from one aisle to the next will blow your scan-window budget on logistics.

2. What is your after-hours scanning protocol - specifically, how do you handle an emergency evacuation alarm during a live scan session? This is a real question with a real answer for firms that have worked in live facilities. Vague answers are a red flag.

3. Can you scan and model raised-floor plenums, or do you only cover above-floor? Many generalist firms skip the sub-floor entirely, treating it as out of scope. If you are planning a density upgrade or a major under-floor recabling, that sub-floor data is essential.

4. What format is your registered point cloud delivered in - .rcp, .e57, .las? Is it georeferenced or project-north only? A georeferenced cloud can be incorporated into future survey control or site coordination work; a project-north-only cloud cannot. Make sure the answer matches your intended downstream use.

5. Have you modeled hot/cold aisle containment systems as Revit families? Can you share a sample? Ask for an actual family file, not a screenshot. A generic extruded box is not adequate for airflow coordination. Proper containment families are hosted, parametric, and carry clearance parameters.

Our differentiator: we own our instruments outright - not rented, not subcontracted - every point cloud is registered and QC’d in ReCap Pro before modeling begins, and modeling is produced by vetted partner studios under our QA. You work with a single named project contact from first scan night through final deliverable. Data center environments demand disciplined NOC-window planning and tight access protocols, which is how we scope and run this work.

For a direct comparison of what dedicated firms deliver versus offshore freelancer teams on complex projects, see our post on in-house firm vs. offshore freelancer for scan-to-BIM.

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FAQ

What does scan-to-BIM actually model in a data center - is it just the shell or does it include racks and containment?

There are three distinct layers. Layer one is the architectural and structural shell: exterior walls, floor slab, roof deck, columns, and the raised access floor grid including pedestal heights and sub-floor plenum depth. Layer two is MEP: cooling units and CRAC/in-row coolers, electrical busways and PDUs, cable trays at all elevations, and piping. Layer three is containment systems: HAC/CAC curtains, containment doors, overhead panel grids, and blanking panels. Rack enclosures are modeled as generic Revit families (footprint plus height) at LOD 300 unless a rack-level audit is specifically scoped. Individual patch cables and server assets are DCIM data - out of scope by default, and we scope that exclusion explicitly in every contract.

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Can you scan a live, production data center without causing downtime?

Yes. The Trimble X7 emits Class 1 eye-safe laser pulses and produces zero RF interference that affects server NICs, storage arrays, or network switches - this is inherent to the technology, not a facility-specific finding. The practical constraint is physical access, not electromagnetic compatibility. Scanning must happen during maintenance windows or rolling zone shutdowns coordinated with the NOC in advance. Our standard data center protocol covers scan-window scheduling, escort logistics, badge access, emergency egress procedures, and photography policy compliance - all addressed before the first crew member walks the floor.

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How is scan-to-BIM for a data center different from scan-to-BIM for a warehouse - don’t they both have big open floors?

The surface similarity conceals a 3-4x cost differential. A warehouse has three layers: slab, columns, roof deck. A data center has four to five distinct layers - raised floor plenum, working floor with dense rack corridors, overhead cable tray (often at two or three elevations), containment ceilings, and above-ceiling MEP - each requiring separate scan coverage with different instrument positioning. A 20,000 sq ft warehouse scans in a single day shift with perhaps 30-40 stations. A 20,000 sq ft data center requires approximately 140 stations across 2-3 night shifts and 3-4x the modeling hours. For a related comparison, see our post on scan-to-BIM for cold storage and refrigerated warehouses.

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What LOD should I specify for a data center BIM if I’m planning a critical power upgrade?

Specify LOD 300 as the baseline for the full facility - structural, cooling, cable tray, secondary electrical. Specify LOD 350 specifically for the critical power path: every UPS, ATS, PDU, and busway run. The practical trigger for LOD 350 is rack density: above 10 kW per rack, LOD 300 geometry leaves clearance ambiguity that fabricators cannot resolve without returning to the field. Above 15 kW per rack, LOD 350 on the full power path is effectively mandatory. LOD 350 adds connection geometry and interface clearances that LOD 300 does not include, and those clearances are what fabrication-level coordination for a power upgrade actually requires. Before signing any BIM contract, request a LOD matrix table that maps levels to specific data center elements - ambiguity in scope is the primary driver of cost disputes.

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How accurate is a laser scan of a raised floor environment, and does the scan capture below the raised floor?

The Trimble X7 delivers a range accuracy of 2 mm and 3D point accuracy of approximately 3.5-4 mm at typical data center scan distances. For sub-floor plenum scanning, we lower our handheld scanner on a custom low-profile bracket through removed floor tile cutouts - the bracket positions the scanner approximately 8 inches above the sub-floor, oriented to sweep the full pedestal field in a 360-degree pass. We remove tiles every third bay, scan, replace, and advance. Each sub-floor station runs approximately 3.5 minutes. The resulting point cloud documents pedestal heights, cabling bundles, and abandoned equipment - data that would otherwise require manually lifting tiles across the entire floor area.

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Does Capture serve data centers in Boise, Idaho, and the broader Pacific Northwest?

Yes - we travel for data center projects and quote mobilization per location; see our locations page for current coverage and service-area details. The Boise/Treasure Valley market specifically has seen significant data center development driven by energy costs and land availability, which is driving demand for accurate existing-conditions documentation.

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Ready to Model Your Data Center to ±3mm?

Request a scoped data center scan-to-BIM quote. Send us a rough floor plan (a hand sketch works), your raised floor height, and a count of containment rows. We scope within 24 hours, work live-environment night windows with our own badged crews, and deliver accurate existing-conditions documentation - point clouds and coordinated Revit models your design team and licensed professionals can work from directly. We own our instruments, register and QC every point cloud before modeling begins, and assign a single named project contact from first scan night through final deliverable.

For manufacturing and industrial facility scan-to-BIM, see our spoke on scan-to-BIM for manufacturing plants and equipment relocation.

Request a scoped quote →